Statistics for Social and Behavioral Sciences grāmatas
Prove It with Figures: Empirical Methods in Law and Litigation
-30% ar kodu BOOKS
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Ordinal Data Modeling
James H. Albert, Valen E. Johnson
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Relative Distribution Methods in the Social Sciences
Mark S. Handcock, Martina Morris
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Public Policy and Statistics: Case Studies from RAND
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Practical Considerations in Computer-Based Testing
Judith A. Spray, John Kalohn, Tim Davey, Cynthia G. Parshall
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Explanatory Item Response Models: A Generalized Linear and Nonlinear Approach
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Multivariate and Mixture Distribution Rasch Models: Extensions and Applications
Claus H. Carstensen, Matthias Davier
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Bayesian Evaluation of Informative Hypotheses
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Linear Models for Optimal Test Design
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Multivariate and Mixture Distribution Rasch Models: Extensions and Applications
Claus H. Carstensen, Matthias Davier
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Explanatory Item Response Models: A Generalized Linear and Nonlinear Approach
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Introduction to Applied Bayesian Statistics and Estimation for Social Scientists
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Missing Data and Small-Area Estimation: Modern Analytical Equipment for the Survey Statistician
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Bayesian Evaluation of Informative Hypotheses
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Statistics for Lawyers
Bruce Levin, Michael O. Finkelstein
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Marginal Models: For Dependent, Clustered, and Longitudinal Categorical Data
Jacques A. Hagenaars, Marcel A. Croon, Wicher Bergsma
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Living Standards Analytics: Development through the Lens of Household Survey Data
Dominique Haughton, Jonathan Haughton
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Multidimensional Item Response Theory
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Bayesian Item Response Modeling: Theory and Applications
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Statistical Models for Test Equating, Scaling, and Linking
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Statistical Confidentiality: Principles and Practice
Mark Elliot, Gonzalez Juan Jose Salazar, George T. Duncan
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Statistical Modeling of the National Assessment of Educational Progress
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Projection Matrices, Generalized Inverse Matrices, and Singular Value Decomposition
Yoshio Takane, Haruo Yanai, Kei Takeuchi
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